A scrap inspection system and method of use thereof

Abstract

The application discloses a kind of scrap steel inspection systems and its use method, it is related to steel enterprise material quality inspection information technology field, including mobile phone terminal APP, central database, PC end webpage system;The mobile phone terminal APP, central database, PC end webpage system are connected by enterprise industrial special network two-way communication, realize inspection data real-time intercommunication, consistent storage and safe transmission;The mobile phone terminal APP is cross-platform mobile terminal program, integrates five big functional modules of inspection result entry, abnormal disposal, unpacking inspection, review and spot check, inspection result query, and is configured with data real-time upload and local temporary storage function.The scrap steel inspection system and its use method, by field data real-time entry upload, online circulation, three levels hierarchical check, normal inspection result upload time is shortened from traditional 12 hours to 6 hours or less, inspection data accuracy is improved, completely eliminates manual transcription error, realizes inspection data whole-process traceability.

Description

Technical Field

[0001] This invention relates to the field of information technology for material quality inspection in steel enterprises, specifically to a scrap steel inspection system and its usage method. Background Technology

[0002] Scrap steel is a core recycled raw material in steel production, and the quality of purchased scrap steel directly affects the quality of steel products and the production costs of enterprises. Currently, most steel companies in China still use traditional manual inspection, paper-based record keeping, and manual data transcription for the inspection of purchased scrap steel, which has many technical shortcomings.

[0003] Traditional inspection methods rely on manual on-site judgment and manual data recording, followed by manual aggregation and transcription into the enterprise system. This is not only extremely inefficient, with a typical batch data upload cycle taking up to 12 hours, but also prone to errors due to the high rate of manual transcription, resulting in low accuracy of inspection data. Furthermore, the traditional method lacks standardized sampling, unpacking, and verification processes, making it impossible to effectively control the internal quality of special scrap steel materials such as automobile and train briquettes. The inspection process lacks complete documentation, resulting in low transparency and poor data traceability.

[0004] Furthermore, the existing inspection system lacks a tiered verification and closed-loop management mechanism for abnormalities, resulting in chaotic handling of batches with quality abnormalities and a tendency for omissions or mishandling. Data from each inspection stage is isolated, forming data silos that prevent multi-dimensional data statistical analysis. This makes it difficult to provide quantitative data support for enterprises' scrap steel procurement strategies and the assessment of inspection personnel. The system also suffers from high labor costs and low standardization of control, failing to meet the management needs of modern steel enterprises for intelligent and standardized quality inspection. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a scrap steel inspection system and its usage method, solving the problems mentioned in the background section.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a scrap steel inspection system, comprising a mobile APP, a central database, and a PC webpage system; the mobile APP, central database, and PC webpage system are connected via bidirectional communication through an enterprise industrial private network to achieve real-time interconnection, consistent storage, and secure transmission of inspection data; The mobile app is a cross-platform mobile application that integrates five major functional modules: inspection result entry, anomaly handling, unpacking inspection, review and spot check, and inspection result query. It is configured with real-time data upload and local temporary storage functions for on-site scrap steel inspection data collection and preliminary handling throughout the entire process. The central database adopts a distributed storage architecture with a minimum storage capacity of 2TB. It supports the storage of inspection photos and inspection data for a period of no less than 3 months. It is configured with a cold and hot data separation data management strategy to automatically archive historical old data to the historical database. The PC-based web system adopts a B / S architecture and is deployed on the enterprise server. It integrates functions such as review and spot check, inspection result query, and data statistical analysis. It can display the entire process information, including operation time nodes, operators, and sample numbers. It supports the automatic generation of inspection reports, supplier quality reports, and inspector business level analysis reports, providing data support for enterprise management decisions.

[0007] Furthermore, the inspection result entry module supports photo evidence collection, briquette sampling, and preliminary judgment entry of inspection results. It can carry out inspection operations according to the categories of refined scrap steel, bulk scrap steel, automobile briquette, train briquette, and other scrap steel, and can determine whether the batch quality is normal or abnormal. It is equipped with a location sampling function for automobile briquette and train briquette, and a sample paint number entry function for train briquette.

[0008] Furthermore, the anomaly handling module of the mobile APP is used to receive push information on batches with quality anomalies, supports on-site photo uploads by managers, and inputs business handling results to complete the closed-loop handling process for anomalies; the unpacking inspection module supports querying the corresponding batch inspection information by sample number, can upload photos of the unpacking site, input unpacking inspection judgment results, and force the completion of all sample unpacking inspection operations on the same day.

[0009] Furthermore, the mobile APP's review and spot check modules are configured with a tiered time-limited verification mechanism; the review module receives the initial judgment results and business processing results, allowing station and office managers to complete the review and verification within 4 hours, and supports objection feedback and abnormal transfer; the spot check module receives the inspection results after the review is completed, allowing department managers to complete the spot check and verification within 2 hours, and supports objection feedback and abnormal transfer.

[0010] Furthermore, the mobile app's test result query module includes three independent sub-modules: The Inspector Query submodule allows inspectors to query only the inspection data they have processed; the Comprehensive Query submodule supports querying data for the entire inspection process, and this query function is synchronized with the PC web system with more detailed information; the Supplier Query submodule allows suppliers to query the final inspection results for their own supplied batches.

[0011] Furthermore, the central database adopts a combined architecture of MySQL and Redis; the MySQL database serves as the main database, storing core business verification data with a data storage duration of no less than 100 days, and is equipped with a cold and hot data separation strategy to automatically archive old data; the Redis database serves as a cache layer to store hot data, with a hot data cache validity period of no more than 30 days, ensuring data access and transmission efficiency.

[0012] Furthermore, a method for using a scrap steel inspection system, applied to the aforementioned scrap steel inspection system, includes the following steps: S1. Inspection Start: On-site inspection personnel log in to the mobile APP, select the corresponding inspection sub-module according to the scrap steel type of the batch to be inspected, verify the vehicle number and batch information, and the system automatically generates exclusive inspection index items. S2. Targeted Sampling: If the material to be inspected is a car briquette or a train briquette, the sampling location can be selected through the APP location extraction function, and the equipment can be instructed to complete the sampling. Car briquette samples are unpacked and inspected on-site. Train briquette samples are painted and numbered and then transferred to the unpacking point, and the sample number is entered into the system. S3. On-site data entry and preliminary judgment: Inspectors take photos of the material quality on-site and upload them to the system, enter the material type grade and deducting slag and weight inspection data, and generate the batch preliminary judgment result; if the preliminary judgment of quality is normal, the quality inspection and acceptance is completed and the data is synchronized to the logistics system in real time; if the preliminary judgment of quality is abnormal, the material is locked and the abnormal information is pushed to the management personnel, and the material is sealed on-site for disposal. S4. Same-day unpacking and inspection: Unpacking and inspection personnel query batch information by sample number, complete the unpacking operation, take photos of the unpacked samples, and enter the unpacking judgment results; if the unpacking results are normal, the data will flow normally; if the unpacking results are abnormal, they will be pushed to the abnormal handling module; all samples are unpacked and inspected on the same day. S5. Abnormal Closed-Loop Handling: After receiving abnormal push information, the management personnel shall conduct on-site verification and form a business record, upload verification photos, enter the business handling results, and complete the quality inspection and acceptance; abnormal batches must complete closed-loop handling before they can enter the next process. The system does not have an automatic upload mechanism. S6. Tiered review and verification: After the initial judgment result or business handling result is uploaded, the station management personnel shall complete the review within the specified time. The initial judgment result of the train crushing block shall be transferred to the review process after all samples have been unpacked and inspected. If the review is normal, the data shall be transferred to the sampling inspection stage. If there is any objection to the review, it shall be pushed to the abnormal handling module for reprocessing. If the review is not completed within the time limit, it shall be automatically transferred to the sampling inspection module. S7. Hierarchical Sampling Verification: Department managers complete batch sampling verification within the specified time. If the sampling is normal, the data is uploaded to the enterprise system for archiving. If there are any objections to the sampling, the data is pushed to the anomaly handling module for closed-loop processing. If the sampling is not carried out within the time limit, the inspection result is assumed to be normal and automatically uploaded to the enterprise system. Inspectors can conduct self-checks and report anomalies during the review and sampling stages.

[0013] Furthermore, it also includes step S8, data query and statistics: managers can query the entire process inspection data through the PC web system or mobile APP, and the system automatically generates various statistical reports; suppliers can query only the final inspection results of their own supplied batches through the mobile APP.

[0014] Furthermore, in step S6, the time limit for station and office management personnel to review the information is 4 hours, and in step S7, the time limit for department management personnel to conduct spot checks is 2 hours.

[0015] This invention provides a scrap steel inspection system and its usage method, which has the following beneficial effects: By real-time on-site data entry and upload, online transfer, and three-level verification, the upload time for normal test results has been shortened from the traditional 12 hours to less than 6 hours, improving the accuracy of test data, completely eliminating errors from manual transcription, and achieving full traceability of test data. It completely replaces traditional paper ledgers and manual transcription, eliminates data silos, and leaves a complete record of all inspection operations, time points, and operators, making it easy for regulatory authorities to monitor in real time and ensuring that the inspection process is open and transparent. Dedicated inspection modules are set up for five types of scrap steel to meet the diverse quality inspection needs of enterprises, unify operating standards, and improve the standardization and efficiency of the inspection process; The PC-based system can automatically generate multi-dimensional reports on inspection, supplier quality, and inspector professional skills, providing quantitative data for enterprises to optimize scrap steel procurement strategies and conduct performance evaluations of inspection personnel, thereby improving the level of refined management of enterprises. A three-tiered verification system was established, consisting of on-site preliminary assessment, station review, and departmental spot checks. Abnormal batches were automatically pushed out and subject to mandatory closed-loop handling. Without an automatic transfer mechanism, the problem of missed handling and mistransfer of abnormal batches was completely solved. For briquette scrap steel, an integrated process of sampling, numbering, transfer, and unpacking was designed to achieve standardized internal quality control. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the workflow of a scrap steel inspection system according to the present invention. Detailed Implementation

[0017] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention. The scrap steel inspection system of this invention consists of three parts: a mobile APP, a central database, and a PC web system. The three are seamlessly connected through the enterprise's industrial private network to ensure real-time communication, consistency, and security throughout the entire process of data collection, transmission, and storage. The enterprise industrial private network refers to a dedicated communication network deployed within an enterprise that is physically or logically isolated from the external Internet.

[0018] Mobile App: Developed using the Flutter cross-platform language, it is compatible with Android and iOS operating systems and deployed on dedicated mobile phones for on-site inspection. It includes five main functional modules: inspection result entry, anomaly handling, unpacking inspection, review and spot checks, and inspection result query. It supports real-time data upload and local temporary storage, local caching when the network is offline, and automatic synchronization upon network reconnection, ensuring continuity of on-site operations.

[0019] Inspection result entry module: Covers the inspection of five types of materials: refined scrap steel, bulk scrap steel, automobile briquettes, train briquettes, and other scrap steel. It supports on-site multi-angle photo evidence collection, random sampling of briquettes, material type grade, and data entry of slag and weight deduction. It can determine the batch quality status. Train briquettes specifically support sample paint number entry.

[0020] Anomaly Handling Module: Receives quality anomaly batch information pushed by the system in real time, supports on-site photo evidence collection by management personnel, inputs business verification results, completes closed-loop handling of anomaly batches, and leaves a complete record of all abnormal operations.

[0021] Unpacking and Inspection Module: Supports accurate batch information lookup by sample number, records unpacking site images and inspection results, and forces all samples to be unpacked and inspected on the same day, eliminating issues such as number confusion and missed inspections.

[0022] Review and spot check module: Set time-limited and graded verification rules. Station and office managers can complete the initial judgment and business result review within 4 hours, and department managers can complete the spot check of the review results within 2 hours. Supports objection feedback and abnormal secondary circulation verification.

[0023] The inspection result query module is divided into three levels of query permissions: inspectors can only query their own data, managers can query the entire process data, and suppliers can only query their own final supply data. The permissions are clearly defined to ensure data security.

[0024] Central Database: Employs a distributed storage architecture combining MySQL and Redis, with an initial storage capacity of 2TB and elastic expansion capability. MySQL serves as the primary database, storing all core inspection business data with a retention period exceeding 100 days. It features a hot / cold data separation strategy, automatically archiving expired historical data to a historical database to free up runtime memory. Redis acts as a caching layer, storing frequently accessed data within the last 30 days, improving data retrieval and transfer speeds, and ensuring smooth system operation.

[0025] The PC-based web system is developed based on the Vue.js + SpringBoot architecture and deployed on an enterprise Linux server, supporting multi-browser compatibility. Core functions include tiered review and sampling inspection, full-process data query, and multi-dimensional data statistical analysis. The page comprehensively displays information such as operator, operation time, sample number, and inspection parameters, and can export inspection reports, supplier quality reports, and inspector business analysis reports in Excel format.

[0026] Access Control System: The system implements strict hierarchical access control. Inspectors can only enter and self-check their personal data; station managers have the authority to review, handle anomalies, and perform comprehensive inquiries; department managers have the authority to conduct spot checks and perform full-process inquiries; suppliers can only inquire about the final results of their own supply, thus achieving compliance of access rights and controllable data security.

[0027] Taking the inspection scenario of briquette scrap steel from a steel company as an example, the specific steps of the method of using this invention are as follows: S1. Inspection Start: Inspectors use a dedicated mobile phone to log in to the APP, select the "Train Pressing Block" sub-module, verify the train number H123456 and the basic information of the batch to be inspected, and the system automatically matches and generates the corresponding inspection indicators.

[0028] S2. Sampling Number: The inspector clicks the location extraction function, randomly selects the sampling location, directs the crane to extract 2 samples, sprays paint the samples and numbers them 01, enters the number information into the APP system, and the samples are transferred to the designated unpacking point to await inspection.

[0029] S3. On-site inspection and preliminary judgment: The inspector takes 8 quality photos on-site, covering the overall shape and local details of the train briquettes, and uploads them to the system. The inspection data is entered within 10 minutes. The material type grade is set as Grade A, slag deduction is 1%, and weight deduction is 1%. The batch quality is initially judged to be normal. The quality inspection is signed off, and the data is uploaded to the system in real time and synchronized to the enterprise logistics system to guide subsequent production operations.

[0030] S4. Same-day unpacking inspection: The unpacking inspector queries the corresponding batch information through sample number 01, directs the unpacking machine to complete the unpacking operation, takes photos of the internal quality of the sample, and enters the unpacking result as normal; all samples of this batch are unpacked and inspected on the same day. After all unpacking is completed, the preliminary judgment result is automatically transferred to the verification module.

[0031] S5. Tiered review and verification: Within 3 hours after the initial judgment results are transferred, the station management personnel complete the online review to confirm that the test data and judgment results are correct and the review is passed; the inspectors can check the data they enter throughout the process and report any abnormalities in a timely manner.

[0032] S6. Hierarchical spot check verification: After the review is completed, the data enters the spot check module. Department managers complete the spot check verification within 2 hours. If the result is normal, the spot check passes. Normal batches are automatically uploaded after the spot check passes. Abnormal batches can only be uploaded after the closed-loop processing is completed.

[0033] S7. Data Query and Statistics: Enterprise managers can query the full-process inspection data of this batch through the PC web system, generate inspection reports with one click and archive them; the corresponding suppliers can query the final inspection results of this batch through the mobile APP: Grade A material type, slag deduction 1%, weight deduction 1%.

[0034] S8. Closed-Loop Handling of Abnormal Scenarios: If the initial judgment of batch quality abnormality in step S3, or the result of unpacking inspection in step S4, is abnormal, the system will automatically push the abnormal information to the abnormal handling module of the station management personnel. After receiving the push, the management personnel will check the material status on-site, take photos of the inspection and upload them to the system, enter the business handling results, adjust the material type grade to grade B, deduct 2% for slag, and deduct 3% for weight, and complete the quality inspection and acceptance. The abnormal batch must complete the above closed-loop handling process before it can enter the review and spot check stages, and finally upload to the enterprise system and complete the material release. The system will not automatically transfer the abnormal batch data, completely eliminating control loopholes.

[0035] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A scrap steel inspection system, characterized in that: It includes a mobile app, a central database, and a PC web system; the mobile app, central database, and PC web system are connected via a two-way communication network through the enterprise's industrial private network to achieve real-time communication, consistent storage, and secure transmission of inspection data; The mobile app is a cross-platform mobile application that integrates five major functional modules: inspection result entry, anomaly handling, unpacking inspection, review and spot check, and inspection result query. It is configured with real-time data upload and local temporary storage functions for on-site scrap steel inspection data collection and preliminary handling throughout the entire process. The central database adopts a distributed storage architecture with a minimum storage capacity of 2TB. It supports the storage of inspection photos and inspection data for a period of no less than 3 months. It is configured with a cold and hot data separation data management strategy to automatically archive historical old data to the historical database. The PC-based web system adopts a B / S architecture and is deployed on the enterprise server. It integrates functions such as review and spot check, inspection result query, and data statistical analysis. It can display the entire process information, including operation time nodes, operators, and sample numbers. It supports the automatic generation of inspection reports, supplier quality reports, and inspector business level analysis reports, providing data support for enterprise management decisions.

2. The scrap steel inspection system according to claim 1, characterized in that: The inspection result entry module supports photo evidence collection, briquette sampling, and preliminary judgment entry of inspection results. It can carry out inspection operations according to the categories of refined scrap steel, bulk scrap steel, automobile briquette, train briquette, and other scrap steel, and can determine whether the batch quality is normal or abnormal. It is equipped with a location sampling function for automobile briquette and train briquette, and a sample paint number entry function for train briquette.

3. The scrap steel inspection system according to claim 2, characterized in that: The mobile app's anomaly handling module receives push notifications for batches with quality anomalies, supports on-site photo uploads by management personnel, and inputs business handling results to complete the closed-loop handling process for anomaly batches. The unpacking and inspection module supports querying the corresponding batch inspection information by sample number, can upload photos of the unpacking site, input unpacking and inspection judgment results, and forces all sample unpacking and inspection operations to be completed on the same day.

4. The scrap steel inspection system according to claim 2, characterized in that: The mobile app's review and spot check modules are configured with a tiered time-limited verification mechanism. The review module receives the initial judgment results and business processing results, allowing station and office managers to complete the review and verification within 4 hours, and supports objection feedback and abnormal transfer. The spot check module receives the inspection results after the review is completed, allowing department managers to complete the spot check and verification within 2 hours, and supports objection feedback and abnormal transfer.

5. The scrap steel inspection system according to claim 1, characterized in that: The mobile app's test result query module includes three independent sub-modules: The Inspector Query submodule only allows inspectors to query the inspection data they themselves have processed; The comprehensive query submodule supports querying data throughout the entire inspection process. This query function is synchronized with the PC web system and displays more detailed information. The supplier query submodule only allows suppliers to query the final inspection results of their own supplied batches.

6. The scrap steel inspection system according to claim 1, characterized in that: The central database adopts a combined architecture of MySQL and Redis; the MySQL database serves as the main database, storing core business verification data with a data storage duration of no less than 100 days, and is equipped with a cold and hot data separation strategy to automatically archive old data; the Redis database serves as a cache layer to store hot data, with a hot data cache validity period of no more than 30 days, ensuring data access and transmission efficiency.

7. A method of using a scrap steel inspection system, applied to the scrap steel inspection system according to any one of claims 1-6, characterized in that, Includes the following steps: S1. Inspection Start: On-site inspection personnel log in to the mobile APP, select the corresponding inspection sub-module according to the scrap steel type of the batch to be inspected, verify the vehicle number and batch information, and the system automatically generates exclusive inspection index items. S2. Targeted Sampling: If the material to be inspected is a car briquette or a train briquette, the sampling location can be selected through the APP location extraction function, and the equipment can be instructed to complete the sampling. Car briquette samples are unpacked and inspected on-site. Train briquette samples are painted and numbered and then transferred to the unpacking point, and the sample number is entered into the system. S3. On-site data entry and preliminary judgment: On-site inspection personnel take photos of material quality and upload them to the system, enter material type grade and deducting slag and weight inspection data, and generate batch preliminary judgment results; Once the initial assessment indicates that the quality is normal, the quality inspection and acceptance are completed, and the data is synchronized to the logistics system in real time. If an initial assessment indicates a quality abnormality, the material is identified and the abnormality information is sent to management personnel. The material is then sealed off on-site pending further action. S4. Same-day unpacking inspection: Unpacking inspection personnel query batch information through sample number, complete the unpacking operation, take photos of the unpacked sample, and enter the unpacking judgment result; if the unpacking result is normal, the data flows normally; if the unpacking result is abnormal, it is pushed to the abnormal handling module. All samples were unpacked and inspected on the same day. S5. Abnormal Closed-Loop Handling: After receiving abnormal push information, the management personnel shall conduct on-site verification and form a business record, upload verification photos, enter the business handling results, and complete the quality inspection and acceptance; abnormal batches must complete closed-loop handling before they can enter the next process. The system does not have an automatic upload mechanism. S6. Tiered review and verification: After the initial judgment result or business handling result is uploaded, the station management personnel shall complete the review within the specified time; the initial judgment result of the train crushing block shall be transferred to the review process after all samples have been unpacked and inspected. If the review is successful, the data will proceed to the spot check stage; if there are any discrepancies in the review, the data will be pushed to the exception handling module for reprocessing. If the review is not completed within the time limit, the application will be automatically transferred to the spot check module. S7. Hierarchical Sampling Verification: Department managers complete batch sampling verification within the specified time. If the sampling is normal, the data is uploaded to the enterprise system for archiving. If there are any objections to the sampling, the data is pushed to the anomaly handling module for closed-loop processing. If the sampling is not carried out within the time limit, the inspection result is assumed to be normal and automatically uploaded to the enterprise system. Inspectors can conduct self-checks and report anomalies during the review and sampling stages.

8. The method of using the scrap steel inspection system according to claim 7, characterized in that, It also includes step S8, data query and statistics: managers can query the entire process inspection data through the PC web system or mobile APP, and the system automatically generates various statistical reports; suppliers can query only the final inspection results of their own batches through the mobile APP.

9. The method of using the scrap steel inspection system according to claim 7, characterized in that, In step S6, the time limit for station and office management personnel to review is 4 hours, and in step S7, the time limit for department management personnel to conduct spot checks is 2 hours.

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